A New Algorithm of Normalized LMS Blind Multiuser Detector Based on Kalman Filter

Author

Guo, Shao-Bin ; Huang, Ping ; Guo, Shao-Jing

Author_Institution

Dept. of Autom., Harbin Eng. Univ., Harbin, China

fYear

2009

fDate

24-26 Sept. 2009

Firstpage

1

Lastpage

5

Abstract

To solve the strong MAI in the stable CDMA system a new algorithm of normalized LMS blind multiuser detector based on Kalman filter is proposed. The algorithm which combines the Kalman filter and normalized LMS can estimates the adaptive vector to get the optimal estimation of the detection vector. Both theory analysis and experimental simulation show that the algorithm not only has fast convergence, high accuracy in tracking, excellent capability of anti-multiple access interference, but also the low computation complexity, about a quarter of the Kalman filter algorithm, and has high engineering practical value.

Keywords

Kalman filters; adaptive signal detection; code division multiple access; communication complexity; convergence; least mean squares methods; multiuser detection; radiofrequency interference; Kalman filter algorithm; MAI; code division multiple-access; computation complexity; convergence; least mean square method; multiple access interference; normalized LMS blind adaptive multiuser detector; stable CDMA system; Algorithm design and analysis; Computational modeling; Convergence; Detectors; Kalman filters; Least squares approximation; Multiaccess communication; Multiple access interference; Resonance light scattering; Spread spectrum communication;

fLanguage

English

Publisher

ieee

Conference_Titel

Wireless Communications, Networking and Mobile Computing, 2009. WiCom '09. 5th International Conference on

Conference_Location

Beijing

Print_ISBN

978-1-4244-3692-7

Electronic_ISBN

978-1-4244-3693-4

Type

conf

DOI

10.1109/WICOM.2009.5302079

Filename

5302079